Fraud Risk Lead- Vice President

OH, United States

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Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? As a Fraud  risk Vice President, you will manage a team of fraud risk professionals tasked with setting transaction fraud strategies by leveraging data from across the firm, advanced machine learning models, and other advanced analytics.  

The team leverages analytics to develop strategies and actions that balance the tradeoff amongst fraud losses, operational expenses driven by fraud strategies, and customer impacts from fraud prevention efforts.  The manager will also be responsible for working closely with fraud risk technical product team to deliver best in class fraud fighting capabilities to protect our customers.  The role requires close partnership with the consumer and business banking, operations, technology, and product teams.

Job responsibilities:

  • Mentor and develop a team of analysts, managing their book of work to deliver on business objectives
  • Develop new creative solutions to challenges presented by fraud activity leveraging outside the box thinking.
  • Work with large amounts of complex data to monitor and uncover behaviors and trends in fraudulent activity.
  • Strong communication skills with the ability to communicate complex data into a clear story to team members as well as senior leaders.
  • A desire to work as part of a team, and ability to work with cross functional teams
  • Develop new fraud fighting products (such as Machine Learning Models) by designing requirements and working with technical business partners to implement these products using agile design methodology
  • Work on diverse tasks and respond to emerging issues

Required Qualifications, Capabilities, and Skills

  • At least 7 years of professional experience, experience in risk management, strategic analytics, or data science preferred
  • Strong analytical, interpretive, and problem-solving skills with the ability to interpret large amounts of data and its impact in both operational and financial areas 
  • Ability to compress large amounts of data into short and concise presentations with sound business conclusions
  • Ability to develop elegant and common-sense solutions to complex business challenges
  • Excellent analytical skills with the ability to comprehend and explain data / concepts in a clear and concise manner
  • Strong knowledge of programming language like SAS, SQL, Python, and R 
  • Proficient in Excel & PowerPoint

Preferred Qualifications, Capabilities and Skills

  • Experience managing a team or process is preferred
  • Candidate should have a passion for problem solving

     

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Leadership Jobs

Tags: Agile Banking Excel Fraud risk Machine Learning ML models Python R SAS SQL

Region: North America
Country: United States

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